Prague, 150 00,
Czech Republic
Czech Savings Bank Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Czech Savings Bank and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 9738 Czech Savings Bank employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Czech Savings Bank has purchased the following applications: Keboola Platform for Analytics and BI in 2019, Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2020, Apple Business Chat for Chatbots and Conversational AI in 2023 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Czech Savings Bank is running and its propensity to invest more and deepen its relationship with Keboola , Microsoft , Apple or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Czech Savings Bank revenues, which have grown to $984.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Czech Savings Bank intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Keboola | Legacy | Keboola Platform | Analytics and BI | Analytics and BI | n/a | 2019 | 2020 | In 2019, Czech Savings Bank implemented Keboola Platform to build a self service data management environment across around 70 teams. Czech Savings Bank, known locally as Česká spořitelna, configured Keboola Platform to support unified product datamarts, CRM automation, branch analytics, and People and Culture reporting within an Analytics and BI context. The Keboola Platform deployment focused on pipeline orchestration, data ingestion, transformation, and provisioning workflows typical for Analytics and BI use cases. The environment was used to assemble and operationalize datamarts and CRM automation workflows, with BI, ETL and CRM connector patterns inferred from the described architecture to standardize data flow and enable self service analytics. Integrations documented in the case study include Oracle DWH as a source, Salesforce CRM for customer master and activity data, internal HR systems for People and Culture reporting, and outbound feeds to Salesforce Marketing Cloud for marketing activation. These integrations indicate a hub style data architecture where Keboola Platform consolidated cross functional data and fed downstream analytics and marketing systems. Governance and rollout emphasized improving data governance and accelerating time to insight, while enabling around 70 teams to access managed data products for product, CRM, branch operations, marketing, and HR reporting. The implementation narrative centers on Keboola Platform as the central Analytics and BI layer that standardized data ingestion, transformation, and distribution for enterprise reporting workflows. |
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 2020 | 2020 | ||
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Cloud Storage | IaaS |
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2021 | 2021 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Apple | Legacy | Apple Business Chat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2023 | 2023 |
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2013 | 2013 |
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Collaboration | Collaboration |
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2019 | 2019 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Customer Analytics | CRM |
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2021 | 2021 |
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Customer Data Platform | CRM |
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2023 | 2023 |
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Marketing Analytics | CRM |
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2023 | 2023 |
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Marketing Automation | CRM |
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2023 | 2023 |
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Tag Management | CRM |
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2015 | 2015 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Identity and Access Management (IAM) | CyberSecurity |
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2023 | 2023 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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IT Service Management | ITSM |
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2023 | 2023 |
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Investment Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Portfolio and Investment Management | Investment Management |
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2002 | 2003 |
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| Date | Company | Status | Vendor | Product | Category | Market |
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